42 computer-science-programming-languages-"CNPEM" PhD scholarships at Chalmers University of Technology
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sustainable future through materials science. All early-stage researchers recruited into the WISE programme will be a part of the WISE Research School , an ambitious nationwide programme of seminars, courses
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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Engineering, or Biotechnology Equivalent requirements apply for individuals with international degrees (e.g., a 4-year bachelor's degree) Strong written and verbal communication skills in English Additional
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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Physics, Chemistry, or Materials Science. A strong background in quantum mechanics, thermodynamics, and statistical mechanics. Documented experience in programming. A strong interest in atomistic modeling
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funded by the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). The NEST project, Time-Resolved Imaging and Multi
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quantum computing, quantum optics, microwave engineering, or related fields in experimental physics. Your verbal and written communication skills in English are good You are motivated for a career in
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to the empirical nature of the project or at least reached within 2 years after starting the PhD program. We are looking for you who are independent, self-driven, and analytical, with an ability to manage complex
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled